Computational Approaches for the Design of Mosquito Repellent Chemicals.

Abstract:

BACKGROUND:In view of many current mosquito-borne diseases there is a need for the design of novel repellents. OBJECTIVE:The objective of this article is to review the results of the researches carried out by the authors in the computer-assisted design of novel mosquito repellents. METHODS:Two methods in the computational design of repellents have been discussed: a) Quantitative Structure Activity Relationship (QSAR) studies from a set of repellents structurally related to DEET using computed mathematical descriptors, and b) Pharmacophore based modeling for design and discovery of novel repellent compounds including virtual screening of compound databases and synthesis of novel analogues. RESULTS:Effective QSARs could be developed using mathematical structural descriptors. The pharmacophore based method is an effective tool for the discovery of new repellent molecules. CONCLUSION:Results reviewed in this article show that both QSAR and pharmacophore based methods can be used to design novel repellent molecules.

journal_name

Curr Med Chem

authors

Basak SC,Bhattacharjee AK

doi

10.2174/0929867325666181029165413

subject

Has Abstract

pub_date

2020-01-01 00:00:00

pages

32-41

issue

1

eissn

0929-8673

issn

1875-533X

pii

CMC-EPUB-94093

journal_volume

27

pub_type

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